Create app.py

app.py

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+import gradio as gr
+from transformers import pipeline
+
+deployed_repo_id = "maryaa4/my-arabic-sentiment-model"
+loaded_sentiment_pipeline = pipeline('sentiment-analysis', model=deployed_repo_id, trust_remote_code=True)
+
+def predict_sentiment(text):
+    if not text:
+        return "Please enter some text for sentiment analysis."
+    result = loaded_sentiment_pipeline(text)
+    label = result[0]['label']
+    score = result[0]['score']
+    return f"Sentiment: {label.capitalize()}, Confidence: {score:.4f}"
+
+iface = gr.Interface(
+    fn=predict_sentiment,
+    inputs=gr.Textbox(lines=5, placeholder="أدخل النص العربي هنا..."),
+    outputs="text",
+    title="Arabic Sentiment Analysis",
+    description=f"A sentiment analysis model for Arabic text, deployed from maryaa4/my-arabic-sentiment-model. Enter Arabic text and get the predicted sentiment."
+)
+
+iface.launch(share=True) # share=True for a temporary public link